计算机技术与发展2016，Vol.26Issue(5)：17-21,5.DOI:10.3969/j.issn.1673-629X.2016.05.004
基于电子商务同类商品的推荐算法研究
Research on Similar Products Recommendation Algorithm Based on Electronic Commerce
摘要
Abstract
Personalized recommendation algorithm is a hot issue in the study of the electronic commerce system. A recommendation algo-rithm based on similar products is presented in this paper,by which users in the purchase of goods can quick get cost-effective products and improve the service ability of the system. This algorithm aims at similar products,the five arguments including supplier name,com-modity prices,the number of purchase,receiving the number,user reviews are selected as recommended indexes. On the basis of sufficient demonstration,the weight of each index is determined and data model is established. To test and verify the correctness of the model,a ex-periment is conducted according to the sales of the first 67 of the dealer of the list in Taobao product (SAMSUNG/SAMSUNG s7898) on February 1,2014. The results show that the model is objective and effective. At present,there are more personalized recommendation algorithms,but the research achievements of recommendation algorithm proposed for the similar goods are relatively small,the implemen-tation of the recommendation algorithm can reduce the difficulty of users finding satisfactory goods,and improve the service level of the system.关键词
电子商务/同类商品/推荐算法/研究Key words
electronic commerce/similar products/recommendation algorithm/study分类
信息技术与安全科学引用本文复制引用
张春生,图雅,翁慧,李艳..基于电子商务同类商品的推荐算法研究[J].计算机技术与发展,2016,26(5):17-21,5.基金项目
国家自然科学基金资助项目(81460656) （81460656）
内蒙古自然科学基金(2012MS0913) （2012MS0913）
通辽市与内蒙古民族大学合作项目(SXZD2012021) （SXZD2012021）
